Meta-complementing the semantics of short texts in neural topic models
Topic models infer latent topic distributions based on observed word co-occurrences in a text corpus. While typically a corpus contains documents of variable lengths, most previous topic models treat documents of different lengths uniformly, assuming that each document is sufficiently informative. H...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2022
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/7609 https://ink.library.smu.edu.sg/context/sis_research/article/8612/viewcontent/neurips22.pdf |
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| Institution: | Singapore Management University |
| Language: | English |